\begin{abstract}
\selectlanguage{english}
\lettrine[lines=3]{U}{ }ntil recently it was generally accepted that most RNA molecules were involved in the  translation process. However, it was discovered that many types of untranslated RNA molecules are present in many different organisms and they are related to a wide variety of molecular processes. These molecules are called non-coding RNAs (ncRNAs). Despite their functional importance, the biological and computational methods to detect and identify non-coding RNAs are still imprecise and incomplete. The discovery of new ncRNAs species is difficult through experimental procedures and the existing computational techniques are slow. This project aimed at obtaining a more efficient tool that compares a non-coding RNA sequence against a sequence database. In order to achieve this, a computational model for ncRNAs identification using the Vienna and Infernal packages has been proposed and implemented. Experiments were conduced to evaluate the model.
\end{abstract}
